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systems security (e.g., remote attestation); User authentication and usable security (e.g., biometrics, CAPTCHA); Privacy (e.g., information inference); Intersection between regulatory and technical aspects
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and outside of it. That’s why we offer generous holiday leave, favourable parental leave policies, and annual working hours that give you the flexibility to shape your schedule. We also offer excellent
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at: https://www.umu.se/en/department-of-computing-science/ Project description and working tasks The project will develop privacy-aware machine learning (ML) models. We are interested in data driven models
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development, networking, administrative and technical support functions, along with good employment conditions. More information about the department is available at: https://www.umu.se/en/department
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17 Jan 2026 Job Information Organisation/Company SLU Research Field Computer science Researcher Profile Recognised Researcher (R2) Application Deadline 27 Feb 2026 - 12:00 (UTC) Country Sweden Type
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KTH is classified as a security-sensitive role in accordance with the Protective Security Act (2018:585). If this applies to the specific position, a security clearance will be conducted
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Description of the workplace The Division of Secure and Networked Systems at the Department of Electrical and Information Technology conducts broad research in cryptography, computer security
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personal data in the recruitment process. It may be the case that a position at KTH is classified as a security-sensitive role in accordance with the Protective Security Act (2018:585). If this applies
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and system integration, recycling, and safety. At Lund University with the Faculty of Engineering (LTH), COMPEL is a strategic initiative aimed at enhancing research environments in battery technology
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societal challenges. Our department is an exciting workplace with research in a broad technology-related area, from basic research to large-scale applied research, and with close contact with students